code: def test_regression():
      """Check the eigenvalue of the identity matrix is one."""
      # https://mail.python.org/pipermail/scipy-user/2010-October/026944.html
      n = 10
      X = np.ones((n, 1))
      A = np.identity(n)
      w, _ = lobpcg(A, X)
      assert_allclose(w, [1])
  
imports: import itertools
  import platform
  import numpy
  from numpy.testing import assert_almost_equal, assert_equal, assert_allclose, assert_array_less
  import pytest
  from numpy import ones, r_, diag
  from numpy.random import rand
  from scipy.linalg import eig, eigh, toeplitz, orth
  from scipy.sparse import spdiags, diags, eye
  from scipy.sparse.linalg import eigs, LinearOperator
  from scipy.sparse.linalg.eigen.lobpcg import lobpcg
label_desc: Use image node_id 7 for calling a global function with example usage: test_regression() without return types